| Organizer | Title |
| T01 | Qi Chen, Bing Xue, Mengjie Zhang | Principle and Applications of Semantic Genetic Programming |
| T02 | Bach (Hoai) Nguyen, Ruwang, Jiao, Bing Xue, Mengjie Zhang | Evolutionary Feature Reduction for Machine Learning |
| T03 | Yi Mei, Qi Chen, Andrew Lensen, Bing Xue, Mengje Zhang | Explainable Artificial Intelligence: A Genetic Programming Approach |
| T04 | Isaac Triguero, Daniel Molina, Bing Xue | Evolutionary Computation for the Design of General Purpose Artificial Intelligent Systems (GPAIS) |
| T05 | Hua Xu, Xiaodong Li, Yuan Yuan, Yuan Sun, Huigen Ye | Large Language Model Driven Evolutionary Optimization |
| T06 | Chao Qian | Pareto Optimization for Subset Selection: Theories and Practical Algorithms |
| T07 | P. N. Suganthan | Differential Evolution with Ensembles, Adaptations and Topologies |
| T08 | Wei-Neng Chen | Distributed Evolutionary Computation for Multi-Agent Systems: Advances and Applications |
| T09 | Mustafa MISIR | Automated Algorithm Design: Data-Driven Algorithms |
| T10 | Fei Liu, Zhichao Lu, Zhenkun Wang, Qingfu Zhang | Large Language Model for Automatic Algorithm Design |
| T11 | Shengxiang Yang | Evolutionary Computation for Dynamic Optimization Problems |
| T12 | Anna V. Kononova, Niki Van Stein | Structural bias in optimisation algorithms |
| T13 | Giovanni Squillero | Leaving the Trees (the evolution of alternative representations in GP) |
| T14 | Yuhui Shi, Qigi Duan, Qi Zhao, Lijun Sun | Meta-Evolution: Biological Backgrounds, Design Principles, Meta-Diversity, and Distributed Implementations |
| T15 | Heike Trautmann, Anna V. Kononova, Jeroen Rook, Thomas Bäck | Benchmarking Single- and Multi-Objective Optimization Algorithms via the (MO-)IOH-Profiler |
| T16 | Kalyanmoy Deb, Dhish Kumar Saxena | Machine Learning Assisted Evolutionary Multi- and Many-objective Optimization |
| T17 | Jamal Toutouh, Una-May O' Reilly | Adversarial Deep Learning by Using Coevolutionary Computation |
| T18 | Lie Meng Pang, Hisao Ishibuchi | New EMO Algorithm Framework with an Unbounded External Archive: Basic Ideas and Research Directions |
| T19 | Lie Meng Pang, Hisao Ishibuchi | Fair Performance Comparison of Evolutionary Multi-Objective Algorithms |
| T20 | Ke Li | Decomposition Evolutionary Multi-Objective Optimization: What We Know from the Literature and What We are not Clear from a Data Science Perspective |
